According to @AndrewYNg, DeepLearning.AI launched the course Design, Develop, and Deploy Multi-Agent Systems with CrewAI, taught by Joao Moura of CrewAI Inc, to help practitioners build and deploy production-grade multi-agent teams using the open-source CrewAI framework for complex workflow automation, with sign-ups available on the DeepLearning.AI course page; Source: Andrew Ng. According to @AndrewYNg, the curriculum covers building agents with tools, memory, and guardrails, coordinating teams that plan, reason, and collaborate, and deploying systems with tracing, evaluation, and monitoring to ensure reliability and observability; Source: Andrew Ng. According to @AndrewYNg, he disclosed a small angel investment in CrewAI to provide transparency around the announcement; Source: Andrew Ng. According to @AndrewYNg, these agentic capabilities directly address automation and orchestration needs that traders and crypto builders use in systematic execution, risk monitoring, and on-chain operations, aligning the course with production requirements for agentic trading stacks; Source: Andrew Ng.

According to @DeepLearningAI, a new course titled Design, Develop, and Deploy Multi-Agent Systems has been announced in collaboration with CrewAI and will be taught by CrewAI Co-Founder and CEO João Moura. Source: @DeepLearningAI on X, Nov 11, 2025; hubs.la/Q03SBVJN0. The course focuses on building teams of AI agents that plan, reason, and coordinate across end-to-end workflows, emphasizing tools, memory, and guardrails to ensure reliability in production deployments. Source: @DeepLearningAI on X, Nov 11, 2025; hubs.la/Q03SBVJN0. The program features insights from Weaviate, Snyk, ExaAI Labs, and AB InBev, highlighting real-world applications of CrewAI-powered multi-agent systems. Source: @DeepLearningAI on X, Nov 11, 2025; hubs.la/Q03SBVJN0. The announcement does not mention cryptocurrencies or tokens, indicating no direct crypto market linkage in this update. Source: @DeepLearningAI on X, Nov 11, 2025; hubs.la/Q03SBVJN0.